17results about How to "Data transmission security" patented technology

The invention discloses an electric power product operation fault detection system based on big data, and relates to the field of electric power fault detection systems, and the system comprises a data collection module which collects the multi-parameter operation data of various electric power products, including electrical and equipment states and environmental parameters, can dynamically adjust the collection frequency, and caches and encrypts the transmission data; the data preprocessing module is used for carrying out abnormal value correction, noise removal, normalization and integrity check; the feature extraction module is used for extracting key and time-frequency domain features by using multiple algorithms, selecting sensitive features according to a fault mode and identifying newly added features; and the fault detection model construction module constructs a model by combining machine learning and deep learning algorithms with ensemble learning and the like, and can update training. Through multi-module cooperation, features are effectively extracted to construct the model, accurate fault diagnosis and prediction are realized, visual display and knowledge support are provided, the intelligent level and efficiency of power product fault detection are improved, and stable operation of a power system is guaranteed.

The invention relates to the technical field of electric power data acquisition with an encryption function, and discloses an electric power data acquisition terminal with an encryption function and a method. By combining the environment data and the equipment state, the encryption process enhances the security and adaptability of data encryption. Environment and equipment data input ensures that encryption results are different, and potential safety hazards caused by static data sources are avoided. The data are reasonably combined through a seed generation formula, it is ensured that the seeds have enough randomness, and the brute force cracking risk is reduced. The key generation strategy generates a unique key through a seed, so that the attack resistance of the system is improved. The key matrix and random number generation strategy improves the unpredictability of the encryption algorithm. And dynamically updating the encryption matrix to prevent the encryption matrix from being cracked in long-term use. In the whole process, comprehensive protection of the data in acquisition, encryption and transmission is ensured, and the data is effectively prevented from being tampered or stolen.

The invention relates to a digital twinning-based rail transit star chain system and a corresponding communication scheme design optimization method. The system comprises a sensing network, a station center digital twin server cluster system, a station center supervision system and corresponding intelligent service businesses, wherein the sensing network covers rail transit star chain systems of trains, trackside infrastructures, station centers and the like in an omnibearing manner. According to the system and the method, all parameters of an urban rail transit system based on an orbital star chain in an actual physical domain are mapped to a virtual digital domain system, so that all-directional supervision of a full-connection system, effective utilization of multi-source data characteristics and short-time accurate modeling of a channel environment with variable position environment parameters are realized; a communication link selection strategy model is constructed in combination with a model-based reinforcement learning method, and loop optimization is realized and an optimal communication link decision scheme is finally obtained by continuously training the model in a digital domain and collecting samples and verifying the model in a physical domain.

The invention belongs to the field of network data transmission, and provides a network data transmission system and method for star flash distributed networking. The network data transmission system of the star flash distributed networking comprises a terminal, an early warning device, a server side and a total server, the terminal, the early warning device, the server side and the total server are embedded with satellite flash radio frequency modules; the server side and the total server are servers and are provided with wireless network devices with satellite flash to network ports, so that a satellite flash radio frequency interface is converted into a network port interface; the terminal, the early warning device, the server side and the total service side are all embedded into a TCP / IP protocol stack so as to be used for establishing a SOCKET and processing SOCKET data, so that the whole network performs data interaction through a TCP / IP protocol, and data acquisition, control and emergency alarm in a local area network are realized.

The invention provides an intelligent electric meter data transmission method, belongs to the technical field of Internet of Things, and aims to ensure data transmission safety in a fast command process. The method is applied to a reader in the AIoT, and the method comprises the steps that in the inventory process, the reader sends a paging message, the paging message comprises a mask and at least two identifiers randomly generated by the reader, the mask is used for paging an AIoT group, and AIoT equipment in the AIoT group is an intelligent electric meter; a response message returned by the paged intelligent electric meter is received, the intelligent electric meter belongs to the AIoT group, and the response message comprises an EPC of the intelligent electric meter and ciphertext data of the intelligent electric meter; the reader determines a communication key according to the EPC of the intelligent electric meter and the at least two identifiers; and the reader decrypts the ciphertext data by using the communication key to obtain plaintext metering data.

The invention provides an industrial instrument identification system based on machine vision. According to the design scheme, the high-definition visual sensor, the OCR algorithm, containerization deployment and multi-protocol support are combined, and efficient and automatic identification of the industrial instrument is achieved; an identification error caused by position change of the camera is solved through a reference image matching algorithm, and the accuracy of an identification area is ensured; meanwhile, an encryption protocol is adopted to guarantee data transmission security, and robustness and accuracy of text recognition are improved through linkage of real-time illumination, background monitoring and multiple cameras; by means of containerization and multi-protocol support, the system has high flexibility, expandability and efficient operation and maintenance capacity and can be seamlessly integrated with existing industrial equipment and platforms, and the efficiency and reliability of industrial intelligent management are improved.

A method, system and device for secure communication between a sensing device and a satellite, and a storage medium, the method comprising: monitoring various terminal data information through the sensing device, encrypting the acquired data information by using a dynamic white box encryption algorithm, and uploading the encrypted data information to an edge computing gateway; the edge computing gateway distributes the received data information to different data queues according to the data security level, and performs security verification and decryption according to a security policy; classifying the plaintext data according to security levels and distributing the plaintext data to different data queues; compressing the plaintext data in the different data queues, and encrypting the data in the different data queues according to formats and classification of security levels; and the encrypted data is sent to the communication satellite, the communication satellite sends the data to the ground management system through the gateway station, and the ground management system carries out summarization, statistics and business processing on the received data. According to the invention, the security of monitoring data transmission and the data transmission efficiency are improved.

The present application relates to the field of data processing technology, and discloses a method for docking a device with an Internet of Things platform using a large language model. The method includes: collecting network traffic data of Internet of Things devices, extracting traffic fingerprints from the network traffic data, obtaining traffic fingerprint data, and constructing device description information based on the traffic fingerprint data; matching the traffic fingerprint data and device description information with the Internet of Things knowledge base to obtain target device parameters; defining device service attributes, and creating a physical model based on the device service attributes; matching the communication mode and device communication protocol to the physical model, inputting the communication mode and device communication protocol into the large language model to generate device communication plug-in code, and obtaining communication plug-in code; transmitting the communication plug-in code to the plug-in management unit to generate a device communication plug-in, and establishing the physical model and the device docking of the Internet of Things platform through the device communication plug-in. The present application improves the efficiency of docking between the device and the Internet of Things platform.

The invention discloses an ECU unauthorized swiping prevention method, device and equipment based on dynamic baud rate communication and a medium. The method comprises the steps that after a data flashing instruction is received, an upper computer is in communication connection with an ECU based on a first baud rate; after the upper computer is successfully connected with the ECU, the upper computer and the ECU carry out baud rate negotiation to obtain a successfully negotiated second baud rate; and the upper computer performs security access and data flashing on the ECU based on the second baud rate. According to the method and the device, the Baud rate of CAN communication is negotiated before data flashing is performed on the ECU by using the CAN bus, and if the communication Baud rate of the ECU cannot be determined by the upper computer, external personnel cannot violently crack a security access algorithm of the ECU through an exhaustion method and the like, so that the security of the ECU is greatly improved, and the situation that the ECU is stolen after entering the market can be effectively avoided.

The present application discloses a method and system for eSIM chip identity authentication. The method includes: writing the device ID number and code number ICCID into the eSIM chip for backup, and encrypting the device ID number and code number ICCID; reading the eSIM chip ID number, and writing the device ID number and code number ICCID into the memory; when the device is initialized, reading the device ID and code number ICCID from the eSIM chip and the memory for verification; if the ID verification is passed, judging whether the data information of the eSIM chip is consistent with the data information of the memory; if the data information of the eSIM chip is consistent with the data information of the memory, determining that the identity authentication is passed, and information interaction with the main station; if the data information of the eSIM chip is inconsistent with the data information of the memory, determining that the identity authentication fails, and prohibiting information interaction with the main station.

The invention provides an intelligent business consultation method and device for a mobile bank, and relates to the technical field of data processing, and the method comprises the steps: receiving consultation request release, obtaining a response instruction, carrying out priority analysis, semantic recognition and sensitivity analysis, then carrying out consultation reply analysis, encrypting a reply result, and sending the reply result to a user. The method can solve the problems that mass data is difficult to process efficiently in the prior art, variable requirements cannot be met flexibly due to rigid priority setting, reply content is deviated or inaccurate due to insufficient understanding accuracy of semantic intentions of users, a necessary protection mechanism is lacked to ensure data security when sensitive information is processed, and the user experience is poor. By comprehensively optimizing concurrent processing, user priority, semantic understanding, sensitive information protection and data transmission security, the efficiency, security and user experience of mobile bank services are remarkably improved.

The invention provides a distributed differential privacy security parameter estimation method and device based on output disturbance, equipment and a storage medium, and relates to the technical field of automatic control and information security. The method comprises the following steps: in each iteration, adding Laplace noise with a fixed scale to output observation data of each agent node for disturbance; respectively adopting a corresponding parameter estimation updating formula according to the known or unknown condition of a target system observation matrix by utilizing the output data after the noise is added and parameter estimation from a neighbor node; the quantitative relation between the privacy parameter and the noise variance and the quantitative relation between the convergence rate and the privacy parameter are given. According to the method, the unknown parameters of the system can be accurately estimated while the output data of each node in the network is protected to meet the differential privacy.

The invention belongs to the technical field of wireless communication and information security, and particularly relates to a multi-user encrypted data transmission method based on DCSK and CDMA, which comprises the following steps: constructing a DSCK-CDMA system, converting a bit signal sent by each user into an encrypted signal by a transmitting end through a chaotic signal and pseudo-random code combination module, and transmitting the encrypted signal to a receiving end; combining the encrypted signals of the plurality of users into a multi-user transmission signal and then sending out the multi-user transmission signal; transmitting a multi-user transmission signal by adopting an additive white Gaussian noise channel model; a receiving end carries out time-frequency synchronization processing on the received receiving signal through a time-frequency domain synchronization module; the interference suppression and multi-user detection module carries out reduction processing on the synchronously processed receiving signals; according to the invention, efficient and safe multi-user data transmission can be realized in a complex wireless communication environment.

The invention discloses a photovoltaic data security sharing method and system, and the method comprises the steps: obtaining the equipment models and serial numbers of all photovoltaic equipment, and carrying out the credibility verification of the accessed photovoltaic equipment and a third-party aggregation platform through a credible computing technology; based on credible verification, a secret sharing technology is introduced, and an encryption key is managed; on the basis of key management, data are encrypted through an asymmetric encryption technology, and data aggregation is completed in a secret data state. According to the method, data security is protected by using trusted computing and asymmetric encryption, and secret key security is protected by introducing a secret sharing thought.

The application relates to a kind of implementation methods of verifiable Internet of Things device data asset transaction, based on the data seller, blockchain and data buyer involved in Internet of Things data asset transaction system, the process for realizing verifiable data asset transaction is as follows: data seller publishes encrypted data on blockchain through smart contract, data buyer requests data according to needs and submits verification request.Smart contract is responsible for verifying the integrity and authenticity of data, and transmits decryption key to data buyer after verification.The data buyer decrypts the data using the key and completes the transaction.If the buyer finds that the decrypted data is abnormal, the smart contract is called to initiate arbitration.Through the confusion encryption mode, RSA accumulator technology, hash verification mechanism and on-chain arbitration mechanism, these attack behaviors are effectively resisted, and the privacy, integrity and verifiability of data transaction are ensured.

The invention discloses a novel size detector control method, which comprises a remote data management server module, a detection terminal gateway module, a size detection execution module and a user operation module, and is characterized in that a safety communication service platform is arranged between the remote data management server module and the detection terminal gateway module; the security communication service platform comprises an application layer, a platform layer, a transmission layer and a communication layer, the application layer provides a detection security plug-in SSDK and a detection task management client, the platform layer is provided with capacity interfaces of detection flow management, data synchronization, task scheduling and the like, the transmission layer is based on the P2P technology, the encryption transmission and routing optimization capacity of detection data is achieved, and the communication layer is used for communication with the detection security plug-in SSDK and the detection task management client. And the communication layer comprises a three-network direct connection data channel and an industrial-grade data private line communication service. According to the invention, through fusion design of a secure communication architecture, intelligent voice interaction, workpiece-face dual verification and a high-precision feature extraction technology, security, intelligence, precision and standardization of a detection process are realized.

The invention relates to the technical field of industrial automation control simulation, and discloses an autonomous and controllable domestic DCS simulation method, which comprises the steps of building a comparison verification platform, selecting a typical industrial scene for analysis, evaluating simulation precision, adjusting model parameters and performing iterative optimization, and optimizing engine scheduling to guarantee real-time performance. According to the method, the modularized simulation model is constructed and comprises the controller, the IO module, the field equipment and the communication link simulation sub-model, and the feedforward compensation amount is introduced, so that the influence of parameter fluctuation on simulation output is effectively counteracted, and the real-time performance and the stability of simulation are remarkably enhanced. Besides, due to integrated application of an independently researched and developed multi-thread parallel resolving engine and a domestic communication chip, bidirectional real-time interaction with DCS hardware is achieved, simulation precision evaluation and model parameter iterative optimization are carried out by building a comparison verification platform and selecting a typical industrial scene, the applicability of a simulation model is improved, and engine scheduling is optimized.